Abstract: Permanent magnet synchronous motors (PMSMs) are widely used in industrial applications. However, conventional finite-control-set model predictive control (FCS-MPC) often faces challenges in ...
mu1 = make_prior ( # Mu is linear because we want to allow the mean to vary as a function of the covariates. linear=True, # The slope coefficients are assumed to be normally distributed, with a mean ...
The current microgrids are experiencing growing difficulties in voltage stability and operational capacity, particularly with constant power loads (CPLs), leading to negative impedance behavior and ...
While Gemini 3 is still making waves, Google's not taking the foot off the gas in terms of releasing new models. Yesterday, the company released FunctionGemma, a specialized 270-million parameter AI ...
Escola de Química, EPQB, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Rio de Janeiro 21941-909, Brazil Programa de Engenharia Química, PEQ/COPPE, Universidade Federal do Rio de Janeiro, Rio ...
A new AI model called popEVE can predict how likely each variant in a patient’s genome is to cause disease. The team is testing popEVE in clinical settings to see if it can speed accurate diagnoses of ...
(A) 3D model of the manipulator structure, consisting of 3 continuum segments. The manipulator operates in the plane. (B) Close-up view of the revolute joint between adjacent disks. (C) Diagram ...
Optimised Model Predictive Control for MMCs: Enhancing Performance and Reducing Computational Burden
Abstract: This paper proposes an Improved Folding Model Predictive Control (IFMPC) strategy for Modular Multilevel Converters (MMCs) that significantly reduces computational complexity while enhancing ...
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